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Evolving Models in Patient-driven Biorepositories

Evolving Models in Patient-driven Biorepositories. James O’Leary September 16, 2010. Changing landscape of biobanks. Single Condition. Multi-condition; cross-disease. Siloed collections. Models for shared infrastructure. Individual governance. Group governance. Limited standardization.

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Evolving Models in Patient-driven Biorepositories

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  1. Evolving Models in Patient-driven Biorepositories James O’Leary September 16, 2010

  2. Changing landscape of biobanks Single Condition Multi-condition; cross-disease Siloed collections Models for shared infrastructure Individual governance Group governance Limited standardization Increased standardized protocols for samples/data Robust data from multiple sources Limited data Limited role of subjects Dynamic involvement of consumers

  3. Changing role of consumers, participants, and disease advocacy organizations

  4. Worst case scenario Insufficient, uninformed patient consent Small, redundant collections that have no power Variable phenotyping Legal structures that provide insufficient protection Orphaned collections and disillusioned, disenfranchised consumers Frustrated scientists lacking the tools necessary for their work

  5. Why advocacy organizations? Understand the unmet research needs of the community Develop trust within the patient community Leverage scarce resources Opportunity to facilitate collaboration between stakeholders Committed to the cause Stewards of the collection Bring multiple stakeholders together

  6. DAOs are key stakeholders in biobanking Traditional role of DAOs has transformed into research-focused role DAOs are establishing and managing biobanks and registries Surveys to assess DAO involvement in clinical research (2008) and registries and biobanks (2009)

  7. Assessing DAO involvement in research 41-item survey instrument - 6 of the questions focused on research registry and biobanking activities A research registry is an information database that contains patient names, medical information, family histories or other information that can be used for research purposes A blood ortissue biobank is a collection of blood samples, human tissue or other biological materials that can be used for research 124 responses by DAO leadership Horn, et al. P330 ACMG, 2010.

  8. Reported research impact from DAO registry or biobank Horn, et al. P330 ACMG, 2010.

  9. DAO involvement in biorepositories and registries 40-item survey instrument focusing on biorepositories and registries 37 responses by DAO leadership 13 organizations (35%) were involved with a biorepository, and 15 organizations (41%) were involved with a registry 65% were interested in establishing a biorepository, and 86% were interested in establishing a registry Cost was the major reason for not establishing a biorepository or registry Horn, et al. HT02, ISBER, 2010.

  10. Horn, et al. HT02, ISBER, 2010.

  11. Sample use and storage Horn, et al. HT02, ISBER, 2010.

  12. Conclusions about DAO-initiated resources Actively involved in biorepositories and registries Collect a variety of clinical information - medical information, diagnosis/treatment information, demographics, genetic information, family history, and lifestyle information Collect a variety of biological samples (blood, tissue, and cell lines), and many desire to collect additional sample types Expanded DAO-involvement may provide investigators with new resources

  13. PXE International videohttp://www.youtube.com/watch?v=U0ES0yDWryM Sharon F. Terry President & CEO PXE International President & CEO Genetic Alliance

  14. Evolving role of the consumer in biobanking No longer just a “subject” or source of sample Consumers can be active participants DAOs can provide venue for participation Individuals are determining and directing how samples are used Serving in roles of gatekeepers and caretakers

  15. -a proof-of-concept advocacy-initiated biobank with shared infrastructure

  16. Our Vision: We revolutionize access to information and resources to enable translation of research into services • Our Product: We provide registry and biorepository solutions for advocacy organizations to catalyze research for treatments • Our Process: Coop model allowing an extensible, interoperative, cost sharing model

  17. http://www.biobank.org/english/View.asp?x=1420

  18. Customized biobanking solution • Sample Collection Services • Collection kit distribution: DNA, RNA, Tissue • Sample collection protocols • Sample accessioning and management • Clinical Data Management and Analysis • Application Service Provider (ASP) model TRIMS • hosting of all clinical and sample data • Genesis clinical data mining • Direct VPN access for member organizations to • TRIMS and Genesis interfaces • Web interface for clinical data entry by donors • via member-defined questionnaires • Sample Processing • DNA isolation and aliquoting • Web sample tracking, reporting and sample • distribution request portal • RNA isolation, expression profiling, SNP • genotyping on request • Cell processing and cell line generation • Inventory management and billing databases

  19. GABB vendors and partners

  20. Information Management Portal Through the online portal: Enter demographic data Accession donors Request kits Generate reports Donor Report Donor Accession Report Site Inventory Report Kit Status Report

  21. A tool for assessing registries and biobanks

  22. Biobank evaluation tool for DAOs and landscape analysis Developed criteria that may inform DAOs in selecting registry or biorepository vendors Assessed 22 registries and biorepositories that may offer suitable platforms and infrastructure for DAOs Identified appropriate, customizable, extensible, scalable solutions for DAOs that provide superior patient protections and allow for data exchange Horn, et al. Biopreservation and BioBanking. June 2010, 8(2): 115-117.

  23. Horn, et al. Biopreservation and BioBanking. June 2010, 8(2): 115-117.

  24. Lessons learned Capacity for registries and biorepositories vary across vendor organizations, and <15% surveyed have both registry and biorepository solutions The focus of registries and biorepositories is determined by owner needs and host capabilities, and DAO needs may differ from other stakeholders Any system that is to provide a robust infrastructure must not only keep pace, but also envision the future beyond its own structure Horn, et al. Biopreservation and BioBanking. June 2010, 8(2): 115-117.

  25. Privacy - an important consideration

  26. Privacy An important concept to all consumers Attitudes about privacy may be influenced by an individual’s health Public perception of privacy will influence research Individual control of samples will influence research

  27. The privacy equation? risks for the general population benefits for the ‘sick’ population

  28. Changing landscape of biobanks Single Condition Multi-condition; cross-disease Siloed collections Models for shared infrastructure Individual governance Group governance Limited standardization Increased standardized protocols for samples/data Robust data from multiple sources Limited data Limited role of subjects Dynamic involvement of consumers

  29. The landscape continues to change Depth and magnitude of data Digital data sources, EHRs Patient reported outcomes, PHRs Advances in technology Partners involved in data collection DAOs active in research Informed participants Public perception of sample storage Evolving privacy concerns

  30. Engaging the consumer Information about the research study Choices on how samples are used The informed consent process Research updates Build community/spread the word through experience/social networking and transparency Involve DAOs and other groups Retention is key - it is much harder to recruit new participants than to keep those that are already participating

  31. Seldom is it that ordinary people like myself get to participate at any level in extraordinary events. I see donating blood to the BioBank as one of those events. ---Genetic Alliance BioBank Participant

  32. Collaborators Genetic Alliance Sharon Terry Liz Horn BioBank Joan Scott Claire Driscoll Member Organizations Gene Logic Tom Thomson Mary Barcus Maya Neyman Private Access Robert Shelton Marc Kirshbaum Cassie Hoag PXE International Pat Terry Lionel Bercovitch Chris Vocke Terry Mac Dermaid www.geneticalliance.org www.biobank.org www.genelogic.com www.privateaccess.com www.pxe.org

  33. Transforming Health Through Genetics Openness is our product and process Shared infrastructure to transform health is our goal Network of 10,000 organizations, universities and companies

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